Black hat data science consists of techniques designed to fool existing algorithms (Google search, Amazon rankings, and so on), compromising or tampering with the metrics -- especially ratios -- that they rely on, without actually physically touching or altering data stored in their databases. It exploits flaws in these algorithms, and it also relies on reverse engineering, to achieve its goal. S…